Çunkaş, Mehmet2020-03-262020-03-262010Çunkaş, M., (2010). Intelligent Design of Induction Motors by Multiobjective Fuzzy Genetic Algorithm. Journal of Intelligent Manufacturing, (21), 393-402. Doi: 10.1007/s10845-008-0187-00956-55151572-8145https://dx.doi.org/10.1007/s10845-008-0187-0https://hdl.handle.net/20.500.12395/25006In this paper an approach using multi-objective fuzzy genetic algorithm (MFGA) for optimum design of induction motors is presented. Single-objective genetic algorithm optimization is compared with the MFGA optimization. The efficiency of those algorithms is investigated on motor's performance. The comparison results show that MFGA is able to find more compromise solutions and is promising for providing the optimum design. Besides, a design tool is developed to evaluate and analysis the steady-state characteristics of induction motors.en10.1007/s10845-008-0187-0info:eu-repo/semantics/openAccessMultiobjective fuzzy optimizationGenetic algorithmsInduction motorArticle21393402Q1WOS:000279714600005Q2